Implant Internal Image

Adversaries may implant cloud or container images with malicious code to establish persistence after gaining access to an environment. Amazon Web Services (AWS) Amazon Machine Images (AMIs), Google Cloud Platform (GCP) Images, and Azure Images as well as popular container runtimes such as Docker can be implanted or backdoored. Unlike Upload Malware, this technique focuses on adversaries implanting an image in a registry within a victim’s environment. Depending on how the infrastructure is provisioned, this could provide persistent access if the infrastructure provisioning tool is instructed to always use the latest image.[1]

A tool has been developed to facilitate planting backdoors in cloud container images.[2] If an adversary has access to a compromised AWS instance, and permissions to list the available container images, they may implant a backdoor such as a Web Shell.[1]

ID: T1525
Sub-techniques:  No sub-techniques
Tactic: Persistence
Platforms: Containers, IaaS
Permissions Required: User
Contributors: Praetorian; Vishwas Manral, McAfee; Yossi Weizman, Azure Defender Research Team
Version: 2.1
Created: 04 September 2019
Last Modified: 08 March 2022

Mitigations

ID Mitigation Description
M1047 Audit

Periodically check the integrity of images and containers used in cloud deployments to ensure they have not been modified to include malicious software.

M1045 Code Signing

Several cloud service providers support content trust models that require container images be signed by trusted sources.[3][4]

M1026 Privileged Account Management

Limit permissions associated with creating and modifying platform images or containers based on the principle of least privilege.

Detection

ID Data Source Data Component Detects
DS0007 Image Image Creation

Monitor interactions with images and containers by users to identify ones that are added anomalously.

Image Metadata

Periodically baseline virtual machine images to identify malicious modifications or additions.

Image Modification

Monitor interactions with images and containers by users to identify ones that are modified anomalously.In containerized environments, changes may be detectable by monitoring the Docker daemon logs or setting up and monitoring Kubernetes audit logs depending on registry configuration.

References